
Threads User Posts Scraper
Pricing
$3.00 / 1,000 results

Threads User Posts Scraper
Extract User Posts from Threads, including captions, media, tags, mentions, and metrics such as likes, comments, and quotes. Easily collect and analyze user-generated content, and download results in formats like JSON, CSV, or Excel.
5.0 (1)
Pricing
$3.00 / 1,000 results
11
Monthly users
26
Runs succeeded
58%
Response time
80 days
Last modified
5 days ago
You can access the Threads User Posts Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "username": "worldeconomicforum"
12};
13
14// Run the Actor and wait for it to finish
15const run = await client.actor("apibox/threads-user-posts-scraper").call(input);
16
17// Fetch and print Actor results from the run's dataset (if any)
18console.log('Results from dataset');
19console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
20const { items } = await client.dataset(run.defaultDatasetId).listItems();
21items.forEach((item) => {
22 console.dir(item);
23});
24
25// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
Threads User Posts Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Threads User Posts Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-client
Other API clients include:
Pricing
Pricing model
Pay per resultThis Actor is paid per result. You are not charged for the Apify platform usage, but only a fixed price for each dataset of 1,000 items in the Actor outputs.
Price per 1,000 items
$3.00